Learn IT - Books tags conceptual

Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases

Packt Publishing, 2018

Be an adaptive thinker that leads the way to Artificial Intelligence

Key Features

AI-based examples to guide you in designing and implementing machine intelligence

Develop your own method for future AI solutions

Acquire advanced AI, machine learning, and...

Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Packt Publishing, 2019

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

Key Features

Build a strong foundation in neural networks and deep learning with Python libraries

Explore advanced deep learning techniques and their applications...

Network-Based Distributed Planning Using Coevolutionary Algorithms (Intelligent Control and Intelligent Automation - Vol. 13)

World Scientific Publishing, 2004

In this book, efficient and scalable coevolutionary algorithms for distributed, network-based decision-making, which utilize objective functions are developed in a networked environment where internode communications are a primary factor in system performance.A theoretical foundation for this class of coevolutionary algorithms is introduced...

Blockchain Technology for Industry 4.0: Secure, Decentralized, Distributed and Trusted Industry Environment (Blockchain Technologies)

Springer, 2020

This book explores recent advances in blockchain technology and its impact on Industry 4.0 via advanced technologies. It provides an in-depth analysis of the step by step evolution of Industry 4.0 and blockchain technologies for creating the next-generation, secure, decentralized, distributed and trusted industry environment and...

Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization

Apress, 2019

Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes multiple examples using R to achieve results, and...

Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems)

Morgan Kaufmann, 2006

A very ambitious undertaking, masterfully described. To the best of my knowledge, this is the first published version of the detailed models implied by the Zachman Framework. David Hay builds the models one step at a time, describing in each increment why the new entities were added, and how they related to the rest of the model. At least as...

Decomposition Methodology For Knowledge Discovery And Data Mining: Theory And Applications

World Scientific Publishing, 2005

The book presents an interesting and pleasant introduction to the topic, which can guide the reader to the knowledge of the existing decomposition methods, and to the choice of those most promising for the problems he has to face. -- Zentralblatt MATH

Data Mining is the science and technology of exploring data in...

Mastering Python High Performance

Packt Publishing, 2015

Measure, optimize, and improve the performance of your Python code with this easy-to-follow guide

About This Book

Master the do's and don'ts of Python performance programming

Learn how to use exiting new tools that will help you improve your scripts

A step-by-step,...

Solr in Action

Manning Publications, 2014

Summary

Solr in Action is a comprehensive guide to implementing scalable search using Apache Solr. This clearly written book walks you through well-documented examples ranging from basic keyword searching to scaling a system for billions of documents and queries. It will give you a deep understanding of how...

Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB

John Wiley & Sons, 2004

Learn how to solve complex differential equations using MATLAB®

Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB® teaches readers how to numerically solve both ordinary and partial differential equations with ease. This innovative publication brings together a skillful treatment of MATLAB...

An Extended Entity-Relationship Model: Fundamentals and Pragmatics (Lecture Notes in Computer Science)

Springer, 1994

Studying modern database languages one recognizes that there is a gap between language features and theoretical foundations:

* Studies of the formal foundations exist for the relational data model but not for the Entity-Relationship model, which is a model used by numerous practical people. Also, most extensions of...

Fundamentals of Database Systems (4th Edition)

Addison Wesley, 2003

This book introduces the fundamental concepts necessary for designing, using, and implementing database systems and applications. Our presentations stresses the fundamentals of database modeling and design, the languages and facilities provided by the database management systems, and system implementation techniques. The book is meant to be used as...

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